{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"18b212478757","filters":{"venue":"American journal of student research."}},"results":[{"id":"W4413001411","doi":"10.70251/hyjr2348.34198204","title":"Who Cares? Unpaid Labor, Human Capital and Inequality In India","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Heritage","funders":"University of Oxford","keywords":"Inequality; Labour economics; Human capital; Unpaid work; Economics; Capital (architecture); Gender inequality; Demographic economics; Economic growth; Geography; Mathematics; Work (physics); Engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1186260423865012,"gpt":0.550472524595772,"spread":0.4318464822092707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006191824,0.0001157222,0.0001737862,0.0006274144,0.001256819,0.002751627,0.0005394493,0.0005246686,0.001926428],"category_scores_gemma":[0.00129933,0.0001151089,0.0002076765,0.001375972,0.002916272,0.0009183466,0.001703655,0.00103216,0.0001392156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003936157,"about_ca_system_score_gemma":0.002025611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09515437,"about_ca_topic_score_gemma":0.1056019,"domain_scores_codex":[0.9993767,0.0001758761,0.00001353386,0.00004260775,0.00006236167,0.0003288924],"domain_scores_gemma":[0.9990442,0.000420793,0.0002093834,0.00003739633,0.00005990227,0.0002282812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002053283,0.0003761538,0.6288842,0.0001543224,0.0001024186,0.001645542,0.03102077,0.0118673,0.0004937481,0.2699873,0.01088513,0.04437795],"study_design_scores_gemma":[0.00001878074,0.0001744361,0.8018969,0.0004621505,0.0001167453,0.0006007072,0.0818349,0.01439813,0.0003832537,0.07562222,0.02441177,0.00008003503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572426,0.001931728,0.000701938,0.01840141,0.00004226475,0.000009221839,0.0002008563,0.000007808877,0.0214622],"genre_scores_gemma":[0.9989287,0.0003324219,0.00003907729,0.000135207,0.00001330215,0.000002151899,0.00001446007,8.517919e-7,0.0005337011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09515437,"threshold_uncertainty_score":0.1892011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405853118","doi":"10.70251/hyjr2348.24190196","title":"The War of 1812 and the Legacy of Nationalism","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"American Constitutional Law and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nationalism; Politics; Democracy; Spanish Civil War; Independence (probability theory); Political science; Dominance (genetics); Law; Political economy; History; Sociology","authors":[{"name":"Oliver Chi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06851237396480003,"gpt":0.4640099711565108,"spread":0.3954975971917107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210927,0.0003987846,0.0002971397,0.001397815,0.01100354,0.009021477,0.0004980049,0.002021695,0.003527672],"category_scores_gemma":[0.002781678,0.0002471365,0.0002139079,0.002108403,0.03131021,0.005492693,0.00622686,0.004793204,0.0004425267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223087,"about_ca_system_score_gemma":0.004624412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013495,"about_ca_topic_score_gemma":0.03315706,"domain_scores_codex":[0.9974306,0.0011221,0.00005348104,0.0003357349,0.0002852419,0.0007727981],"domain_scores_gemma":[0.9991834,0.0003255847,0.0001579978,0.0000878381,0.00009943731,0.0001458572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004076572,0.00002115095,0.002952638,0.00004553608,0.0000113841,0.0005431069,0.06921382,0.0002433625,0.0001623133,0.90595,0.009235446,0.01158043],"study_design_scores_gemma":[0.00001290062,0.00004348745,0.008646272,0.0003134072,0.000007983655,0.0003495899,0.0359116,0.0000906147,0.0003044569,0.09665207,0.8576252,0.00004240724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.214008,0.0222008,0.0008554522,0.02854508,0.001374919,0.00001503999,0.0001347221,0.00001311306,0.7328529],"genre_scores_gemma":[0.9745197,0.004853758,0.0001241312,0.002234454,0.0005672411,0.00001422063,0.00004903052,0.00002064023,0.01761681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02013495,"threshold_uncertainty_score":0.0887416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401932606","doi":"10.70251/hyjr2348.228092","title":"A Comparative Analysis of Gain-of-Function Research and Future Perspectives","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Gain of function; Function (biology); Pandemic; Engineering ethics; Political science; Management science; Coronavirus disease 2019 (COVID-19); Medicine; Engineering; Biology","authors":[{"name":"Yifan Zhuo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07355716339449213,"gpt":0.4203679871038724,"spread":0.3468108237093803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.03240209,0.000674417,0.001379571,0.007447129,0.001793352,0.006349412,0.001516647,0.002297258,0.01667637],"category_scores_gemma":[0.04536895,0.0002585945,0.001656382,0.006579681,0.004880155,0.008422092,0.00213242,0.002429045,0.0008557115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005870034,"about_ca_system_score_gemma":0.002947656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441873,"about_ca_topic_score_gemma":0.001600894,"domain_scores_codex":[0.9840572,0.009350192,0.0005350875,0.001335409,0.003342557,0.001379536],"domain_scores_gemma":[0.9126714,0.06871555,0.003559659,0.003243512,0.01010261,0.001707175],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001049158,0.0001461629,0.01196483,0.002500864,0.0004366869,0.0008670288,0.002191102,0.001429503,0.001222646,0.8215652,0.006845295,0.1497815],"study_design_scores_gemma":[0.0001942733,0.001769305,0.06375165,0.004137087,0.001467379,0.002765315,0.01814713,0.005988483,0.002608054,0.6030366,0.2959834,0.0001513578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1503487,0.2675297,0.05444064,0.0876125,0.00209815,0.0003608163,0.001602354,0.0001451409,0.4358621],"genre_scores_gemma":[0.9000583,0.07340346,0.01017936,0.005091345,0.001713447,0.0003193224,0.0005941647,0.00008676651,0.008553855],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9982067,"threshold_uncertainty_score":0.1713607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404621486","doi":"10.70251/hyjr2348.246165","title":"Effect of Myrosinase Enzyme Encoding Gene Knockout on the Bitter Taste of Broccoli: A CRISPR-Cas9 Experimental Proposal","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Aurora College","funders":"","keywords":"Myrosinase; CRISPR; Bitter taste; Taste; Gene; Enzyme; Biology; Genetics; Biochemistry; Botany; Glucosinolate","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04786486842544711,"gpt":0.424480142842401,"spread":0.3766152744169539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005338101,0.0004350939,0.0005040846,0.0002849757,0.0004412115,0.0004290833,0.0005968112,0.00107472,0.005391173],"category_scores_gemma":[0.0003352063,0.0002619492,0.0007437369,0.0001411857,0.0004849628,0.0003581504,0.0003518548,0.001644225,0.0005701752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898468,"about_ca_system_score_gemma":0.0004022992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001585804,"about_ca_topic_score_gemma":0.0017348,"domain_scores_codex":[0.9995942,0.00004763257,0.00005461237,0.0001329137,0.00009250412,0.0000783276],"domain_scores_gemma":[0.9996704,0.00007946553,0.00005572754,0.00004312636,0.00004590611,0.0001053808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006089223,0.0005367219,0.0002227167,0.0001781402,0.0000156626,0.0001719125,0.00005950322,0.00009765002,0.9953007,0.0003212747,0.0002858345,0.002200968],"study_design_scores_gemma":[0.000185552,0.003116728,0.00267429,0.00002684655,0.0000919066,0.0003269531,0.0001683966,0.001818836,0.9853364,0.0001944123,0.006027428,0.00003237305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9736213,0.001714369,0.01564581,0.0009912223,0.00056774,0.000694159,0.001414962,0.0004851361,0.004865243],"genre_scores_gemma":[0.9685753,0.001674605,0.01549437,0.0005199045,0.00003241289,0.0008816425,0.001318127,0.00008991063,0.0114137],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.005391173,"threshold_uncertainty_score":0.01803529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7103143665","doi":"10.70251/hyjr2348.365360","title":"Hybrid Supervised-Unsupervised CycleGAN for Virtual HER2 Immunohistochemistry from Hematoxylin and Eosin Stains","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"H&E stain; Pattern recognition (psychology); Immunohistochemistry; Digital pathology; Fidelity; Breast cancer; Categorization","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03977468107641352,"gpt":0.3878409918000749,"spread":0.3480663107236614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335319,0.0009442943,0.0003992479,0.0005167343,0.0002162802,0.0005486981,0.0008839933,0.0005980856,0.002195705],"category_scores_gemma":[0.00140604,0.0002900574,0.000500168,0.0002477211,0.0004964233,0.0006271863,0.001028165,0.0008490086,0.0007983776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245828,"about_ca_system_score_gemma":0.0006491285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001891023,"about_ca_topic_score_gemma":0.004392507,"domain_scores_codex":[0.9997324,0.00006605356,0.000008110494,0.00007918041,0.0000725231,0.00004167643],"domain_scores_gemma":[0.9997051,0.000115454,0.00002768144,0.00006961988,0.00006276867,0.00001935296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004281582,0.0002102557,0.002247779,0.000195646,0.000141611,0.0002468154,0.0001286264,0.4452905,0.05894842,0.006300166,0.007204473,0.4786576],"study_design_scores_gemma":[0.000008868143,0.00007722692,0.0004541684,0.00001472692,0.00001287954,0.0001118314,0.00001666542,0.9826074,0.01185239,0.003043788,0.001788147,0.00001191682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09665831,0.0006399959,0.8923769,0.0004383644,0.000145454,0.0001607066,0.0003462617,0.003612394,0.005621656],"genre_scores_gemma":[0.6971171,0.0005540472,0.2859163,0.0007734949,0.00007691585,0.0002654712,0.00185228,0.0005452968,0.01289909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002195705,"threshold_uncertainty_score":0.007345378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7102593478","doi":"10.70251/hyjr2348.3510331045","title":"The Accuracy, Effectiveness, and Psychosocial Benefits of Continuous Glucose Monitors as Compared to Traditional Fingerstick Blood Glucose Monitoring in Type 1 Diabetic Populations: A Systematic Review","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Conestoga College","funders":"","keywords":"Fingerstick; Continuous glucose monitoring; Glycemic; Blood glucose monitoring; Crossover study; Psychosocial; Target range; Blood Glucose Self-Monitoring","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08765699533189708,"gpt":0.4293790465675414,"spread":0.3417220512356444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007235897,0.001114543,0.007817572,0.00642957,0.0005722455,0.002693005,0.001447101,0.001585682,0.003340885],"category_scores_gemma":[0.04629714,0.0008627767,0.009370911,0.00700992,0.0007180462,0.001795705,0.001125924,0.001161101,0.0001978885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003306161,"about_ca_system_score_gemma":0.008628974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009492655,"about_ca_topic_score_gemma":0.02732574,"domain_scores_codex":[0.9925769,0.002457549,0.002780996,0.0005725912,0.00143393,0.0001780061],"domain_scores_gemma":[0.9675826,0.02605677,0.004045943,0.0003159943,0.001752162,0.0002464948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004049306,0.00002540718,0.001513541,0.9454312,0.01642608,0.00006164135,0.0001942216,0.0001026814,0.0001151551,0.0001500897,0.0007978049,0.03477727],"study_design_scores_gemma":[0.0005136455,0.0004091307,0.009087313,0.8113431,0.1665516,0.0003232362,0.0003401224,0.0001524838,0.0002069901,0.0002819391,0.01074185,0.00004847375],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002399553,0.9963128,0.0001187682,0.00018556,0.00007180922,0.0002540842,0.0003984029,0.000006470946,0.0002525942],"genre_scores_gemma":[0.03165225,0.9664033,0.0005735519,0.0004684373,0.00007013073,0.0004978549,0.0002353524,0.000006169436,0.00009291477],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009492655,"threshold_uncertainty_score":0.03826755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407305029","doi":"10.70251/hyjr2348.316273","title":"AlphaFold: A Comprehensive Guide to the Revolutionary AI Tool and Its Methodology","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"California Institute of Technology","keywords":"Computer science; Engineering","authors":[{"name":"Shravan Saranyan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06765478966592033,"gpt":0.4771543197386862,"spread":0.4094995300727658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00293872,0.001820536,0.00102287,0.003311746,0.0007736528,0.003902521,0.004244708,0.001945027,0.07279155],"category_scores_gemma":[0.0093999,0.001721146,0.001293309,0.002864972,0.00121722,0.003634987,0.002173645,0.005019409,0.07099833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009399775,"about_ca_system_score_gemma":0.002767083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271227,"about_ca_topic_score_gemma":0.003634077,"domain_scores_codex":[0.9985437,0.0003207047,0.0001884155,0.0002053544,0.0006495971,0.00009216541],"domain_scores_gemma":[0.9962792,0.002069854,0.0001679532,0.0004528284,0.0008601031,0.0001700626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005263786,0.00009897301,0.0004336445,0.001158246,0.00005208334,0.0001842453,0.0001850951,0.007372484,0.002061768,0.0597027,0.6242282,0.30447],"study_design_scores_gemma":[0.00002027071,0.00002182629,0.0002479037,0.0003722962,0.00001035785,0.0003060761,0.00003583253,0.01214982,0.001177372,0.0504273,0.9351868,0.00004406922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0006110846,0.008322354,0.8733826,0.002685523,0.001152997,0.0003783958,0.009001588,0.05652609,0.0479393],"genre_scores_gemma":[0.003448553,0.007723708,0.9388115,0.00213071,0.0005524472,0.001076494,0.007715886,0.01084948,0.02769123],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07279155,"threshold_uncertainty_score":0.243512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7103201613","doi":"10.70251/hyjr2348.36171176","title":"Exploring the Benefits of Solving the Rubik’s Cube for Older Adults","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"Psychological Testing and Assessment","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"Cognition; Mood; Population; Cube (algebra); Sample (material); Intervention (counseling); Cognitive skill","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.3317203466358762,"gpt":0.5079607815821108,"spread":0.1762404349462345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001422425,0.0004735538,0.0004875196,0.000499282,0.0006108996,0.0006769452,0.0005085893,0.0005775644,0.003436255],"category_scores_gemma":[0.00341681,0.0001635472,0.0006406039,0.0001851368,0.000378092,0.0006971027,0.0009168822,0.0005971643,0.0003959451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704513,"about_ca_system_score_gemma":0.0008151865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008020427,"about_ca_topic_score_gemma":0.003619511,"domain_scores_codex":[0.9995042,0.0001834784,0.000048378,0.00005410205,0.00011474,0.00009508907],"domain_scores_gemma":[0.9992781,0.000304442,0.0001304973,0.00003454347,0.00008155045,0.0001709153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007383351,0.04685428,0.0590277,0.005414822,0.0004945947,0.0008656966,0.02432902,0.0005759776,0.01573263,0.0008817975,0.005010371,0.8334298],"study_design_scores_gemma":[0.006339225,0.2022609,0.6537936,0.003058142,0.001500638,0.002858738,0.07283528,0.002468657,0.01102122,0.004099381,0.03948718,0.0002770835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996909,0.0004713361,0.0003665113,0.0002795057,0.00003539575,0.0002317215,0.0000494895,0.00001596663,0.001641244],"genre_scores_gemma":[0.9854068,0.001930248,0.008914611,0.0004830728,0.00005213201,0.0005691629,0.0001275165,0.000007316382,0.002509176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003436255,"threshold_uncertainty_score":0.01149547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411722374","doi":"10.70251/hyjr2348.33163166","title":"Combating Vaccine Hesitancy in the Philippines: Bridging the Gap Through Visual Communication and Education","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Bridging (networking); Psychology; Political science; Computer science; Computer security","authors":[{"name":"Stella Brothers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08200555884225158,"gpt":0.47801222696236,"spread":0.3960066681201084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00251346,0.0002363728,0.0002026808,0.0006918774,0.001668297,0.001830944,0.0005034989,0.0005342767,0.003544526],"category_scores_gemma":[0.007602937,0.0001635558,0.000181201,0.0004082892,0.001877838,0.001713644,0.003045946,0.001322476,0.0002185573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049811,"about_ca_system_score_gemma":0.003070457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258975,"about_ca_topic_score_gemma":0.01424559,"domain_scores_codex":[0.9987124,0.000802771,0.00004078905,0.000040332,0.0001615251,0.0002420656],"domain_scores_gemma":[0.9962242,0.001426272,0.001072312,0.00009729497,0.0005414943,0.0006384244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002254785,0.000830135,0.2557605,0.001480961,0.00006874916,0.003676151,0.3897669,0.0002891547,0.002635532,0.007050611,0.009096822,0.329119],"study_design_scores_gemma":[0.000043014,0.00131758,0.3133839,0.002953711,0.00009917445,0.002563357,0.5574778,0.001173654,0.002113192,0.005943781,0.1128332,0.00009762702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681703,0.003994679,0.0004032246,0.01475867,0.00007624865,0.00003958423,0.00003174282,0.00002768177,0.01249779],"genre_scores_gemma":[0.9950395,0.002649013,0.0003467105,0.0008990773,0.00003542063,0.00001607909,0.0000113444,0.000005302796,0.0009975111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258975,"threshold_uncertainty_score":0.02503294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414957700","doi":"10.70251/hyjr2348.35626636","title":"Flashbacks and Friendships: How Autobiographical Memory Can Be Used to Foster Social Learning","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centennial College","funders":"","keywords":"Autobiographical memory; Autism spectrum disorder; Recall; Perspective (graphical); Autism; Childhood memory; Childhood amnesia","authors":[{"name":"Nidhi Vaddi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1294211596466542,"gpt":0.4244735646831941,"spread":0.2950524050365399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01536251,0.0004697763,0.0008321952,0.002969095,0.0003849345,0.001870459,0.000842711,0.0005160538,0.003524542],"category_scores_gemma":[0.03687268,0.0003144326,0.002869776,0.00167461,0.0009202816,0.002506946,0.0009506394,0.0007909246,0.0001679765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203846,"about_ca_system_score_gemma":0.00158065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002800468,"about_ca_topic_score_gemma":0.008231596,"domain_scores_codex":[0.9911055,0.006952562,0.0006094576,0.0004394749,0.0007980416,0.00009491382],"domain_scores_gemma":[0.9720006,0.02439877,0.001813187,0.0009333758,0.0006645439,0.0001895632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001446549,0.0007020112,0.01232237,0.04045516,0.01397509,0.0001262155,0.007347153,0.0004783839,0.001154966,0.005047205,0.002051299,0.9148937],"study_design_scores_gemma":[0.006742531,0.02517004,0.2436176,0.2116795,0.1419924,0.002901126,0.02789338,0.00473955,0.01664116,0.0674945,0.2504964,0.0006318855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3732379,0.5799001,0.01779151,0.007226102,0.0007950577,0.001687874,0.0009781535,0.0002018608,0.01818139],"genre_scores_gemma":[0.7651553,0.1925305,0.03666837,0.001572276,0.0003085955,0.001365582,0.0003380227,0.00005350612,0.002007862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01536251,"threshold_uncertainty_score":0.08124572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}